Abstract: Tibetan Plateau vortex (TPV) is a unique product in the region of the Tibetan Plateau, and it is the main precipitation system in summer on the plateau. The eastward vortex moving out of the plateau is always giving rise to a large-scale severe weather process in the downstream area of the Tibetan Plateau. This study has given a brief overview of the research on TPV since 1990s,and has summarized the major achievements made on the basis of the TPV. Furthermore, it points out several research directions which should be put more emphasis on. They are (1) the data is still very inadequate in the region of the Tibetan Plateau, so it is very necessary to organize large-scale scientific observations to obtain more comprehensive data. And this will help deepen our understanding of the TPV. (2) It's believed that the thermal and dynamic effects of the Tibetan Plateau will obviously affect the generation, developing and moving stage of TPV which is a unique system of the Tibetan Plateau, but we are still not clear about the differences between the thermal and dynamic effects and we cannot tell which effect is more important in different stages of TPV. (3)TPV does not exist alone, for its own development and the eastward moving is also affected by many other systems. We now know some basic results of interactions between TPV and southwest vortex, but most of the discussions are limited to the two systems, and multi-system interaction mechanism also needs to be given some attention to. (4) We cannot ignore some of the TPVs which are strongly developed but not moving out of the plateau. However, these TPV's fluctuations may also spread through the mechanism to induce downstream changes in the weather. (5) Theoretical research is a great challenge for understanding of TPV, which also helps to improve weather forecasts ability on the Tibetan Plateau and its surrounding areas. (6) We need to understand the limitation of numerical models in the plateau region. At the same time,satellite, radar and encryption observational data should be assimilated to improve simulation results.